Reproducible, research-ready organoids
Scale up your organoid screening program with high volumes of consistent, reliable organoids
- Our recent acquisition of Cellesce means we are able to provide solutions for the production of high-quality, reliable, research-ready organoids—eliminating a major bottleneck in large-scale organoid screening programs.
- We can support you with the organoids you need to sustain large-scale screening of massive compound libraries.
- With minimal variability - both within and between batches - you can be more confident in the results you obtain.
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ImageXpress Confocal HT.ai system
Powerful multi-laser light sources, a deep tissue penetrating confocal disk module, water immersion objectives and modern machine learning analysis software.
- High intensity laser light source: Capture images faster with shorter exposure times. Multiplex your experiments with 7 lasers and 8 imaging channels.
- Multiple imaging modes: The system offers phase contrast and brightfield label-free imaging, widefield and confocal fluorescent imaging with water immersion optics as a standard option.
- IN Carta Image Analysis Software: Leverages machine learning to improve the accuracy and robustness of high-content image analysis, delivering data insights that other technologies miss. Reduces the complexity of image analysis with intuitive guided workflows in a modern user interface.
Modern machine learning, high-content image analysis software
Provides robust, quantitative results from complex biological images and datasets
- AI-powered data analytics: Leverage the power of machine learning without being a data scientist. Identify and quantify phenotypic changes in a user-friendly workflow. Explore your data and reveal insights from complex datasets. Find novel and unexpected phenotypes with a few mouse clicks.
- 3D analysis: The Custom Module Editor’s 3D application provides unprecedented flexibility in segmenting complex biological structures. Image datasets can be acquired in 3D or 4D (timelapse 3D) and tailored image analysis routines can be developed within a guided workflow.
- Deep learning: Improve specificity of your image analysis workflows by utilizing the SINAP module. SINAP relies on deep learning-based image analysis, resulting in robust segmentation for virtually any biological structure.
